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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

PLAS-20k: Extended Dataset of Protein-Ligand Affinities from MD Simulations for Machine Learning Applications
Divya B. Korlepara, C. S. Vasavi, Rakesh Srivastava, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery
Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, et al.
Nature Computational Science (2024) Vol. 4, Iss. 5, pp. 367-378
Open Access | Times Cited: 17
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 12
Application of Modern Artificial Intelligence Techniques in the Development of Organic Molecular Force Fields
Junmin Chen, Qian Gao, Miaofei Huang, et al.
Physical Chemistry Chemical Physics (2025)
Closed Access | Times Cited: 1
Applications of Artificial Intelligence in Drug Repurposing
Zhaoman Wan, Xinran Sun, Yi Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
In Silico Prediction of New Inhibitors for Kirsten Rat Sarcoma G12D Cancer Drug Target Using Machine Learning-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulation Approaches
Amar Ajmal, Muhammad Danial, Maryam Zulfat, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 5, pp. 551-551
Open Access | Times Cited: 7
From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph‐Based Deep Learning
Yaosen Min, Wei Ye, Peizhuo Wang, et al.
Advanced Science (2024) Vol. 11, Iss. 40
Open Access | Times Cited: 4
Natural Language Processing Methods for the Study of Protein–Ligand Interactions
J.H. Michels, Ramya Bandarupalli, Ahmad Akbari, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Modern machine learning methods for protein property prediction
Arjun Dosajh, P. K. Agrawal, Prathit Chatterjee, et al.
Current Opinion in Structural Biology (2025) Vol. 90, pp. 102990-102990
Closed Access
MDRepo—an open data warehouse for community-contributed molecular dynamics simulations of proteins
Amitava Roy, Ethan Ward, Illyoung Choi, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D477-D486
Open Access | Times Cited: 1
DeepTGIN: a novel hybrid multimodal approach using transformers and graph isomorphism networks for protein-ligand binding affinity prediction
Guishen Wang, H. Zhang, Mengting Shao, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
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